21 Lessons, Get Started Building with Generative AI

Examples and guides for using the OpenAI API

A latent text-to-image diffusion model

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Python Data Science Handbook: full text in Jupyter Notebooks

🔊 Text-Prompted Generative Audio Model

The fastai deep learning library

A guidance language for controlling large language models.

Instruct-tune LLaMA on consumer hardware

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

stable diffusion webui colab

StableLM: Stability AI Language Models

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.